Domino Data Lab is hiring a
Principal Product Manager

Summary

Join Domino Data Lab as a Principal Product Manager to define and execute the next chapter of their 'AI Factory' product strategy, driving innovation in Generative AI systems and MLOps capabilities.

Requirements

• 5+ years of product management experience, delivering enterprise software tailored to data scientists or similar personas (ML/AI engineers, quantitative researchers, etc.)
• Deeply plugged into the AI/ML ecosystem, with a passion for engaging the broader community. You’re comfortable speaking at conferences, contributing to discussions, and have a clear point of view on the future of AI and data science
• Strategic thinker with commercial acumen: You excel at crafting product strategies that align with both customer needs and broader market trends, always with a focus on driving business growth
• Expertise in DS/AI workflows and ecosystems, with a comprehensive understanding of the tools, platforms, and methodologies that power modern machine learning and AI
• High standards for product quality: You have a strong sense of taste and are discerning when it comes to design and user experience, ensuring that everything we ship is of exceptional quality
• Strong technical proficiency: With a background in computer science or a related field, you’re comfortable working closely with engineers, brainstorming approaches, and discussing technical trade-offs
• Enterprise customer intuition: You bring strong communication skills and practical judgment when engaging with enterprise clients, having collaborated on enterprise sales and customer interactions in the past

Responsibilities

• Define and execute a product strategy that positions Domino as the leader in helping customers build and operate Generative AI systems
• Lead the development of the next generation of MLOps capabilities, ensuring that Domino continues to offer cutting-edge solutions for the AI lifecycle
• Evoke our platform to better support Generative AI models and advanced AI systems
• Expand and enhance our MLOps capabilities, enabling customers to streamline their AI workflows
• Increase integration and coherence across our platform, accelerating the time it takes for AI projects to move from inception to production

Benefits

Annual US base salary range of $250,000 - $300,000 USD